How does AI compare to traditional methods in software development
When comparing AI to traditional methods in software development, several key differences emerge that highlight the strengths and weaknesses of each approach.
Key Differences
1. Approach to Problem-Solving
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Traditional Software Development: This approach involves writing code based on predefined rules and logic to solve specific problems. It is predictable and controlled, focusing on deterministic outcomes.
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AI Development: AI systems are trained on data to learn and improve over time. They adapt to new situations and make decisions based on patterns in the data, rather than following fixed rules.
2. Development Lifecycle
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Traditional Software Development: Follows a linear lifecycle—requirements gathering, design, development, testing, and deployment. Updates are manual and based on specific requirements.
-
AI Development: Operates on an iterative cycle. Models are trained with
When comparing AI to traditional methods in software development, several key differences emerge that highlight the strengths and weaknesses of each approach.
Key Differences
1. Approach to Problem-Solving
-
Traditional Software Development: This approach involves writing code based on predefined rules and logic to solve specific problems. It is predictable and controlled, focusing on deterministic outcomes.
-
AI Development: AI systems are trained on data to learn and improve over time. They adapt to new situations and make decisions based on patterns in the data, rather than following fixed rules.
2. Development Lifecycle
-
Traditional Software Development: Follows a linear lifecycle—requirements gathering, design, development, testing, and deployment. Updates are manual and based on specific requirements.
-
AI Development: Operates on an iterative cycle. Models are trained with
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